Blockchain

Nosana Announces “Road to Mainnet” with January 2025 Launch

Amsterdam, Netherlands, September 20th, 2024, Chainwire

 

Nosana, the decentralized AI inference engine powered by a global network of consumer GPUs, reveals the official launch date for its Nosana Mainnet: January 14, 2025.

Nosana, a leader in decentralized AI computing, is proud to announce the upcoming launch of its Nosana Mainnet, set for January 14, 2025. This marks a significant milestone for Nosana, following a year of rigorous testing and preparation for full-scale deployment.

“When we first envisioned Nosana, we imagined a world where AI computing would be decentralized, accessible, and limitless—a place where developers could access GPU resources without the traditional barriers of centralized infrastructure,” said Jesse Eisses, co-founder of Nosana. “We recognized early on that existing AI compute solutions were too centralized or too complex, limiting innovation. Our mission from the start was to create a decentralized network that offers scalable, affordable, and open AI computing resources for the next generation of builders and innovators.”

Over the past nine months, the Nosana team has worked alongside its community to test, refine, and prepare the platform for its mainnet release. The network has engaged with over 4000 nodes from 60 countries across 6 continents, tapping into a global GPU provider network and gaining valuable insights from various AI projects to refine its technology.

What Nosana’s Mainnet Brings

Nosana’s Mainnet will transform access to decentralized GPU resources, unlocking crucial power and efficiency for AI inference workloads. With the launch, Nosana’s users and GPU providers will enjoy new features and significant improvements:

  • Nosana Console: A sleek and refined UI for seamless management of AI inference jobs.
  • Client SDK: A robust software development kit enabling developers to easily connect their projects to the Nosana GPU network.
  • Dynamic Pricing: Real-time, market-driven pricing to optimize resource allocation and ensure fair pricing.
  • Advanced Job-to-Node Matching: Efficient job distribution to maximize performance across the network.
  • Unrestricted GPU Grid Access: Clients will have full access to Nosana’s decentralized GPU network, enabling scalable AI operations.

“We are excited to take Nosana to the next level with its mainnet launch, offering full access to decentralized GPU computing” added Eisses.

Test Grid Phase 3: The Final Step Toward Mainnet

On September 30, 2024, Nosana will begin Test Grid Phase 3, its final stage of testing, focusing on refining pricing models, implementing staking, and ensuring the platform is fully prepared for the January launch. This phase will be the last opportunity to test critical components before the mainnet goes live.

Nosana’s Vision for 2025

The mainnet launch is just the beginning for Nosana. As the platform goes live, the company plans to expand its ecosystem and attract a broader range of projects. In Q2 2025, Nosana will host its first global hackathon, inviting developers and startups to explore new applications for AI inference on its decentralized GPU grid.

“As open-source developers, Jesse Eisses and I wanted to create a solution that moves away from the high costs, inflexibility, and control of centralized cloud providers,” said Sjoerd Dijkstra, co-founder of Nosana. “We couldn’t have reached this milestone without the support of our community, investors, and partners who believed in our vision for making AI computing more accessible for everyone.”

Nosana’s AI inference marketplace will continue to evolve, with ongoing improvements and new features to keep it at the forefront of decentralized AI technology.

Timeline Overview:

  • September 30, 2024: Start of Test Grid Phase 3
  • January 14, 2025: Nosana Mainnet Launch
  • Q2 2025: Global Hackathon for AI applications on Nosana’s network

About Nosana

Nosana is a decentralized AI inference engine powered by a global network of consumer GPUs. Built on the Solana blockchain, Nosana provides scalable and efficient access to GPU resources for AI workloads. With its cutting-edge infrastructure, dynamic pricing model, and advanced job-to-node matching, Nosana leads the way in decentralized AI computing.

https://nosana.com

 

Contact

CMO
Caroline Johnova
Nosana
caroline@nosana.io

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Generative AI In Financial Services: Global and Regional Market Revenue Data by Application, Deployment and End-user (2018-2030) Featuring Strategic Profiles of Alpha Sense, AWS, EY, Google & More

2024-09-18T08:34:41Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Generative AI In Financial Services Market Size, Share & Trends Analysis Report By Application, By Deployment, By End-user, By Region, And Segment Forecasts, 2024 - 2030" report has been added to ResearchAndMarkets.com's offering.

The global generative AI in financial services market was estimated at USD 1.67 billion in 2023 and is projected to grow at a CAGR of 39.1% from 2024 to 2030.

Generative AI is driving the automation of financial processes, leading to improved operational efficiency and reduced costs. AI-powered robo-advisors are increasingly offering automated investment management services, providing personalized advice with minimal human intervention. In the lending sector, AI is revolutionizing the underwriting process by quickly assessing the creditworthiness of borrowers through advanced data analysis. This automation not only speeds up financial processes but also enhances accuracy, ultimately benefiting both financial institutions and their customers.

Generative AI is enhancing risk management and fraud detection capabilities within financial institutions. By analyzing vast datasets in real-time, AI models can identify unusual transaction patterns and anomalies, significantly reducing the risk of fraud. Predictive analytics powered by AI enables financial institutions to anticipate and mitigate various risks, such as credit, market, and operational risks. This initiative-taking approach to risk management not only strengthens security but also ensures compliance with regulatory requirements, safeguarding both the institution and its clients.

Companies Profiled in the Report

  • Alpha Sense
  • Amazon Web Services, Inc.
  • EY (Ernst & Young)
  • Google LLC
  • HCL Technologies
  • IBM Corporation
  • Intel Corporation
  • Mastercard
  • Microsoft
  • Narrative Science
  • OpenAI
  • Salesforce, Inc.
  • SAP

Generative AI In Financial Services Market Segmentation

This report forecasts revenue growth at global, regional, and country levels and analyzes the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, the analyst has segmented the global generative AI in financial services market report based on application, deployment, end-user, and region.

  • Application Outlook (Revenue, USD Million, 2018-2030)
    • Risk Management
    • Fraud Detection
    • Credit Scoring
    • Forecasting & Reporting
    • Customer Service and Chatbots
  • Deployment Outlook (Revenue, USD Million, 2018-2030)
    • On-premises
    • Cloud-based
  • End-user Outlook (Revenue, USD Million, 2018-2030)
    • Retail Banking
    • Corporate Banking
    • Insurance Companies
    • Investment Firms
    • Hedge Funds
    • FinTech Companies
  • Regional Outlook (Revenue, USD Million, 2018-2030)
    • North America
      • U.S.
      • Canada
      • Mexico
    • Europe
      • Germany
      • UK
      • France
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Australia
    • Latin America
      • Brazil
    • Middle East and Africa (MEA)
      • UAE
      • KSA
      • South Africa

For more information about this report visit https://www.researchandmarkets.com/r/scnqgv

About ResearchAndMarkets.com
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